1naresh
Array ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) ) 1nareshArray ( [urn:ac.highwire.org:guest:identity] => Array ( [runtime-id] => urn:ac.highwire.org:guest:identity [type] => guest [service-id] => ajnr-ac.highwire.org [access-type] => Controlled [privilege] => Array ( [urn:ac.highwire.org:guest:privilege] => Array ( [runtime-id] => urn:ac.highwire.org:guest:privilege [type] => privilege-set [privilege-set] => GUEST ) ) [credentials] => Array ( [method] => guest ) ) )Table 1:Average performance of 3D U-Net augmentation methods and normalization across 5 repetitions
Flip Augmentation No Normalization None 3 Direction Left-Right Left-Right Training Cross-entropy 0.0461 (SD, 0.0017) 0.0596 (SD, 0.0006) 0.0502 (SD, 0.0008) 0.03504 (SD, 0.0010) Dice score 0.9380 (SD, 0.0016) 0.9140 (SD, 0.0004) 0.9315 (SD, 0.0012) 0.9284 (SD, 0.0008) Validation Cross-entropy 0.0726 (SD, 0.0041) 0.07472 (SD, 0.0050) 0.06771 (SD, 0.0039) 0.04062 (SD, 0.0023) Dice score 0.8698 (SD, 0.0136) 0.8518 (SD, 0.0163) 0.8819 (SD, 0.0122) 0.8419 (SD, 0.0279)